IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS

  • Mella Apriyani Department of Mathematics, Jenderal Soedirman University
  • jajang Jajang Department of Mathematics, Jenderal Soedirman University
  • Agustini Tripena Br. Sb. Department of Mathematics, Jenderal Soedirman University

Abstract

There are three types of  Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative  pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.

Published
2021-07-28
How to Cite
APRIYANI, Mella; JAJANG, jajang; SB., Agustini Tripena Br.. IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 13, n. 1, p. 27-38, july 2021. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/3612>. Date accessed: 04 feb. 2023. doi: https://doi.org/10.20884/1.jmp.2021.13.1.3612.

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